MPC-based controller for augmented boiler-NO x model

Syed Minhajullah, Sami El Ferik*, Mustafa Elshafei, M. A. Habib

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

This paper addresses the problem of controlling a drum type boiler operation as well as its NO x emission level. For that purpose an augmented model integrating both boiler and NO x models has been developed. The system has multiple roots at the origin causing poor phase and gain stability margins. In addition, one of its inputs has been considered as an undesirable disturbance. Different control strategies have been studied and benchmarked. A two-stage Augmented Model Predictive control (MPC) controller with constraints demonstrated best performance. Computer simulations show the performance of such approach.

Original languageEnglish
Title of host publicationInternational Multi-Conference on Systems, Signals and Devices, SSD 2012 - Summary Proceedings
DOIs
StatePublished - 2012

Publication series

NameInternational Multi-Conference on Systems, Signals and Devices, SSD 2012 - Summary Proceedings

Keywords

  • Boiler
  • Model Predictive Control
  • NO
  • Simulation
  • augmentedmodel
  • measureddisturbance

ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering

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